基于B样条小波多尺度积图像边缘提取技术

Image edge extraction technology based on the multi-scale product of B-spline wavelet

结合了B样条函数良好的逼近特性以及多尺度积算法的抗噪性能,来达到图像边缘检测的最佳效果。首先通过选择合适的小波滤波器对信号进行小波变换,之后通过相邻尺度的小波变换相乘得到尺度积,以检测出图像的模极大值,最后通过阈值滤掉伪边缘,得到图像的边缘信息。实验表明,该算法相比其他传统检测算子能有效地抑制图像噪声,并且图像边缘和细节信息的失真量小。

The issue is a combination of good approximation cnaractensucs well as and-noise performance of the multi-scMe plot algorithm to achieve the best results in image edge detection. The basic idea is firstly by selecting the appropriate wavelet filter wavelet transform to the signal after using the method of multi-scale product to detect edge information to detect the modulus maxima of the image, and finally to filter out false edges through the threshold which could get the edges of the image information. The experiment shows that the Mgorithm compared to other traditional detection operator can effectively suppress image noise, and decrease the amount of distortion of the image edges and details.